Rule-Based Cloud System for Performance Appraisal of Staff in Chinese Universities

DOI

10.2991/978-94-6463-034-3_92How to use a DOI?

Keywords

Big Data; Cloud Computing; Performance Appraisal; Rule-Based System

Abstract

Data-driven policies have prevailed among universities globally. Universities hope that the outcomes of faculty members are high quality and in a large quantity. Therefore, universities motivate staff to work hard with annual remuneration bonuses. However, the tedious application process frustrates teachers and brings adverse effects if no suitable systems are available. The paper presents a rule-based cloud computing system to evaluate performance for annual bonus payment applications in Chinese universities. The criteria can be encoded with if-then expressions. Department administrators can add new rules or update existing ones flexibly with this rule-based system. Teachers can upload their achievements through a web browser on different devices. Faculty members know the mark of each item input into the system. The system calculates the final points automatically. Members of the school committee can review and return applications to applicants. All criteria are publicly available for all faculty members. The system simplifies the process of the annual bonus pay application. The transparency encourages teachers to participate in applying for annual bonus pay. The experimental results show that the designed system helped evaluate performance-based annual bonus applications. Teachers spent less time requesting yearly bonus salaries with the rule-based cloud system than with traditional approaches.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yongbin Zhang
AU  - Ronghua Liang
AU  - Yuansheng Qi
AU  - Xiuli Fu
AU  - Yanying Zheng
PY  - 2022
DA  - 2022/12/23
TI  - Rule-Based Cloud System for Performance Appraisal of Staff in Chinese Universities
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 893
EP  - 902
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_92
DO  - 10.2991/978-94-6463-034-3_92
ID  - Zhang2022
ER  -